Join our Pattern of Life Analysis (PoLA) ecosystem. PoLA is a revolutionary system and method that empowers organizations to identify anomalies and trends within vast datasets. By leveraging advanced AI, PoLA enables the timely detection of compromised individuals, systems, and digital entities, including AI and deepfakes. This proactive approach is important for safeguarding critical infrastructure like national defense, emergency services, utilities, and service providers, ensuring their resilience against evolving threats.
Sub License
Pattern of Life Analysis with Kernel Density Estimation
Or License SARAHAI
2025.1 Coming Soon
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PoLA Practical Application
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Includes Patent Protections
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EdgeAI Technology
Social Media
PoLA is a powerful tool that can be used to improve Social Media in a number of ways. By understanding the patterns of behavior of social media users, PoLA can be used to improve content personalization, reduce misinformation and disinformation, improve user safety, and improve platform design.
Key Function
Social Media Revenue
Generate revenue. PoLA can be used to develop more targeted advertising campaigns and generate more revenue for social media platforms. For example, PoLA can be used to identify users who are most likely to be interested in a particular product or service and show them targeted ads.
How Social Media uses PoLA
Here are some specific examples of how PoLA is being used to improve Social Media today
is using PoLA to personalize the content that users see in their News Feed. For example, Facebook uses PoLA to identify the topics and types of content that users are most likely to engage with and show them more of that content.
is using PoLA to identify and remove misinformation and disinformation from the platform. For example, Twitter uses PoLA to identify patterns of behavior that are associated with spreading misinformation and disinformation.
YouTube
is using PoLA to identify and remove harmful content from the platform. For example, YouTube uses PoLA to identify patterns of behavior that are associated with cyberbullying, hate speech, and other forms of harmful content.